{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demo 02: Sample data in TIGRE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To load the data (head phantom) for experiments, do as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define geometry\n",
    "import tigre\n",
    "geo = tigre.geometry(mode='cone',default=True,high_quality = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<tigre.utilities.plotimg.plotimg instance at 0x7fe948fdaea8>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tigre.demos.Test_data.data_loader import load_head_phantom\n",
    "head = load_head_phantom(geo.nVoxel)\n",
    "tigre.plotimg(head,slice=32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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